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Composition and Dynamics","monthly_downloads":174,"total_dependent_repos":0,"total_dependent_packages":1,"readme":"# TurbulenceConvection.jl #\n\n|||\n|---------------------:|:----------------------------------------------|\n| **Documentation**    | [![dev][docs-dev-img]][docs-dev-url]          |\n| **DOI**              | [![DOI][zenodo-img]][zenodo-latest-url]       |\n| **Docs Build**       | [![docs build][docs-bld-img]][docs-bld-url]   |\n| **GHA CI**           | [![gha ci][gha-ci-img]][gha-ci-url]           |\n| **Code Coverage**    | [![codecov][codecov-img]][codecov-url]        |\n\n[zenodo-img]: https://zenodo.org/badge/DOI/10.5281/zenodo.6392396.svg\n[zenodo-latest-url]: https://doi.org/10.5281/zenodo.6392396\n\n[docs-bld-img]: https://github.com/CliMA/TurbulenceConvection.jl/actions/workflows/docs.yml/badge.svg\n[docs-bld-url]: https://github.com/CliMA/TurbulenceConvection.jl/actions/workflows/docs.yml\n\n[docs-dev-img]: https://img.shields.io/badge/docs-dev-blue.svg\n[docs-dev-url]: https://CliMA.github.io/TurbulenceConvection.jl/dev/\n\n[gha-ci-img]: https://github.com/CliMA/TurbulenceConvection.jl/actions/workflows/ci.yml/badge.svg\n[gha-ci-url]: https://github.com/CliMA/TurbulenceConvection.jl/actions/workflows/ci.yml\n\n[codecov-img]: https://codecov.io/gh/CliMA/TurbulenceConvection.jl/branch/main/graph/badge.svg\n[codecov-url]: https://codecov.io/gh/CliMA/TurbulenceConvection.jl\n\nTurbulenceConvection (Single Column Atmospheric Model in Julia) provides a framework for testing parameterizations of clouds and turbulence.\nIt is particularly designed to support eddy-diffusivity mass-flux modeling frameworks.\n\nInformation about the EDMF parameterization implemented in TurbulenceConvection can be found in:\n\nTan, Z., Kaul, C. M., Pressel, K. G., Cohen, Y., Schneider, T., and Teixeira, J. (2018)\n**An extended eddy-diffusivity mass-flux scheme for unified representation of\nsubgrid-scale turbulence and convection.** *Journal of Advances in Modeling Earth Systems*. [doi](https://doi.org/10.1002/2017MS001162)\n\nCohen, Y., Lopez-Gomez, I., Jaruga, A., He, J., Kaul, C., and Schneider, T. (2020) **Unified entrainment and detrainment closures for extended eddy-diffusivity mass-flux schemes.** *Journal of Advances in Modeling Earth Systems*, 12, e2020MS002162. [doi](https://doi.org/10.1029/2020MS002162)\n\nLopez-Gomez, I., Cohen, Y., He, J., Jaruga, A., Schneider, T. (2020) **A generalized mixing length closure for eddy-diffusivity mass-flux schemes of turbulence and convection.** *Journal of Advances in Modeling Earth Systems*, 12, e2020MS002161. [doi](https://doi.org/10.1029/2020MS002161)\n\nHe, J., Cohen, Y., Lopez-Gomez, I., Jaruga, A., Schneider, T. (2021) **An improved perturbation pressure closure for eddy-diffusivity mass-flux schemes**. [preprint](https://doi.org/10.1002/essoar.10505084.2)\n\nThe code is written in Julia, and was translated from [SCAMPy](https://github.com/CliMA/SCAMPy) for the commit 496dad0c2438235684823511cacbf5761d6a237c.\n\nCode Contributors (alphabetical):\n    Yair Cohen (Caltech),\n    Jia He (Caltech),\n    Anna Jaruga (Caltech),\n    Colleen Kaul (PNNL) --initial/primary developer of SCAMPy,\n    Charles Kawczynski (Caltech),\n    Ignacio Lopez-Gomez (Caltech),\n    Kyle Pressel (PNNL),\n\nAdditional Acknowledgements:\n    Tapio Schneider (Caltech),\n    Joao Teixeira (JPL).\n\n# User Installation #\n\nInstallation is easy:\n\n```julia-repl\n(@v1.6) pkg\u003e add TurbulenceConvection\n```\n\nTurbulenceConvection.jl requires Julia 1.6 or higher. If you plan to develop TurbulenceConvection.jl, you may want to clone it instead:\n\n\n```\ngit clone https://github.com/CliMA/TurbulenceConvection.jl\ncd TurbulenceConvection.jl\njulia --project=integration_tests\njulia\u003e ]\npkg\u003e instantiate\n```\nClimaCore.jl, a dependency of TC.jl, will by default attempt to run code on a GPU device if available. TC.jl is not compatible with GPUs, and the following environmental variable needs to be exported to prevent GPU attempts:\n```\nexport CLIMACOMMS_DEVICE=CPU\n```\n\n# Running #\n\n```\n$ cd TurbulenceConvection.jl\n```\n\nTurbulenceConvection.jl can be run in the same way that SCAMPy used to, given one of the following cases:\n\n - Bomex\n - life_cycle_Tan2018\n - Soares\n - Rico\n - TRMM_LBA\n - ARM_SGP\n - GATE_III\n - DYCOMS_RF01\n - DYCOMS_RF02\n - GABLS\n\nwith, for example:\n\n```\njulia --project=integration_tests driver/generate_namelist.jl Soares\njulia --project=integration_tests driver/main.jl Soares\n```\nor by calling our integraion test driver,\n```\njulia --project=integration_tests integration_tests/driver.jl --case Soares\n```\nor, interactively, with\n```julia-repl\njulia --project=integration_tests\njulia\u003e case_name = \"Soares\" # default is \"Bomex\"\njulia\u003e include(joinpath(\"integration_tests\", \"driver.jl\"))\n```\n\n# Automated plotting  #\n\nUpon running a particular experiment (described above), comparison plots (against [SCAMPy](https://github.com/CliMA/SCAMPy)) are automatically generated in, for example, `Output.Bomex.01/stats/comparison/`.\n\n# Table of prognostic and diagnostic variables\n\n - Prognostic [✓]\n - Diagnostic [x]\n - NA [-]\n\n| **Variable**  | **Grid-mean** | **Environment** | **Updrafts** |\n| ------------- | ------------- | --------------- | ------------ |\n| `u`           | [✓]           |  [x]            |  [x]         |\n| `v`           | [✓]           |  [x]            |  [x]         |\n| `w`           | [-]           |  [x]            |  [✓]         |\n| `θ_liq_ice`   | [✓]           |  [x]            |  [✓]         |\n| `q_tot`       | [✓]           |  [x]            |  [✓]         |\n| `a`           | [-]           |  [x]            |  [✓]         |\n| `tke`         | [x]           |  [✓]            |  [-]         |\n| `θ′θ′`        | [x]           |  [✓]            |  [-]         |\n| `q_tot′q_tot′`| [x]           |  [✓]            |  [-]         |\n| `θ′q_tot′`    | [x]           |  [✓]            |  [-]         |\n\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.5281/zenodo.6392396","https://doi.org/10.1002/2017MS001162","https://doi.org/10.1029/2020MS002162","https://doi.org/10.1029/2020MS002161","https://doi.org/10.1002/essoar.10505084.2"],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":["climate","data-assimilation","climate-change","land","land-surface-model","canopy","fluorescence","sif","soil-plant-atmosphere"],"project_url":"https://ost.ecosyste.ms/api/v1/projects/39591","html_url":"https://ost.ecosyste.ms/projects/39591"}